{"total":174,"rows":[{"id":"2412.02700","title":"Motion Prompting: Controlling Video Generation with Motion Trajectories","created":"2024-12-03","cited_by_count":178,"area":null},{"id":"2410.05363","title":"Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation","created":"2024-10-07","cited_by_count":174,"area":null},{"id":"2411.14499","title":"Understanding World or Predicting Future? A Comprehensive Survey of World Models","created":"2024-11-21","cited_by_count":166,"area":"wm"},{"id":"2503.06800","title":"VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation","created":"2025-03-09","cited_by_count":149,"area":null},{"id":"2502.02492","title":"VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models","created":"2025-02-04","cited_by_count":113,"area":null},{"id":"2505.23656","title":"VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models","created":"2025-05-29","cited_by_count":98,"area":"diffusion"},{"id":"2503.08153","title":"WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation","created":"2025-03-11","cited_by_count":90,"area":null},{"id":"2412.00596","title":"PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation","created":"2024-11-30","cited_by_count":80,"area":"diffusion"},{"id":"2503.20746","title":"PhysGen3D: Crafting a Miniature Interactive World from a Single Image","created":"2025-03-26","cited_by_count":66,"area":null},{"id":"2505.19386","title":"Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals","created":"2025-05-26","cited_by_count":53,"area":"wm"},{"id":"2503.23368","title":"VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior","created":"2025-03-30","cited_by_count":52,"area":"diffusion"},{"id":"2412.02617","title":"Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback","created":"2024-12-03","cited_by_count":47,"area":"mllm"},{"id":"2411.17189","title":"PhysMotion: Physics-Grounded Dynamics From a Single Image","created":"2024-11-26","cited_by_count":45,"area":null},{"id":"2505.18151","title":"WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions","created":"2025-05-23","cited_by_count":45,"area":null},{"id":"2501.16550","title":"PhysAnimator: Physics-Guided Generative Cartoon Animation","created":"2025-01-27","cited_by_count":42,"area":null},{"id":"2501.19252","title":"Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search","created":"2025-01-31","cited_by_count":41,"area":"diffusion"},{"id":"2509.20358","title":"PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation","created":"2025-09-24","cited_by_count":41,"area":"diffusion"},{"id":"2509.21309","title":"NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics","created":"2025-09-25","cited_by_count":41,"area":null},{"id":"2506.23135","title":"RoboScape: Physics-informed Embodied World Model","created":"2025-06-29","cited_by_count":40,"area":"wm"},{"id":"2411.14423","title":"PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation","created":"2024-11-21","cited_by_count":36,"area":"diffusion"},{"id":"2503.21765","title":"Exploring the Evolution of Physics Cognition in Video Generation: A Survey","created":"2025-03-27","cited_by_count":31,"area":"diffusion"},{"id":"2511.04665","title":"Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions","created":"2025-11-06","cited_by_count":30,"area":null},{"id":"2411.02394","title":"AutoVFX: Physically Realistic Video Editing from Natural Language Instructions","created":"2024-11-04","cited_by_count":27,"area":null},{"id":"2512.00425","title":"What about gravity in video generation? Post-Training Newton's Laws with Verifiable Rewards","created":"2025-11-29","cited_by_count":25,"area":"diffusion"},{"id":"2501.10928","title":"Generative Physical AI in Vision: A Survey","created":"2025-01-19","cited_by_count":24,"area":null},{"id":"2411.16800","title":"Phys4DGen: Physics-Compliant 4D Generation with Multi-Material Composition Perception","created":"2024-11-25","cited_by_count":23,"area":null},{"id":"2504.21853","title":"A Survey of Interactive Generative Video","created":"2025-04-30","cited_by_count":23,"area":null},{"id":"2506.01144","title":"FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation","created":"2025-06-01","cited_by_count":22,"area":"diffusion"},{"id":"2603.05449","title":"RealWonder: Real-Time Physical Action-Conditioned Video Generation","created":"2026-03-05","cited_by_count":22,"area":null},{"id":"2508.10858","title":"Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation","created":"2025-08-14","cited_by_count":21,"area":"alignment"},{"id":"2501.13329","title":"Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks","created":"2025-01-23","cited_by_count":20,"area":null},{"id":"2506.06440","title":"Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation","created":"2025-06-06","cited_by_count":20,"area":null},{"id":"2511.13704","title":"TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models","created":"2025-11-17","cited_by_count":19,"area":"lr"},{"id":"2412.04782","title":"A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges","created":"2024-12-06","cited_by_count":18,"area":null},{"id":"2603.09030","title":"PlayWorld: Learning Robot World Models from Autonomous Play","created":"2026-03-09","cited_by_count":18,"area":"wm"},{"id":"2503.05484","title":"DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction","created":"2025-03-07","cited_by_count":17,"area":null},{"id":"2510.22161","title":"I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions","created":"2025-10-25","cited_by_count":17,"area":null},{"id":"2601.11087","title":"PhysRVG: Physics-Aware Unified Reinforcement Learning for Video Generative Models","created":"2026-01-16","cited_by_count":17,"area":"deeprl"},{"id":"2510.19022","title":"MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models","created":"2025-10-21","cited_by_count":16,"area":"diffusion"},{"id":"2511.21978","title":"PAT3D: Physics-Augmented Text-to-3D Scene Generation","created":"2025-11-26","cited_by_count":16,"area":"mllm"},{"id":"2503.20822","title":"Synthetic Video Enhances Physical Fidelity in Video Synthesis","created":"2025-03-26","cited_by_count":15,"area":null},{"id":"2511.08585","title":"Simulating the Visual World with Artificial Intelligence: A Roadmap","created":"2025-11-11","cited_by_count":15,"area":"wm"},{"id":"2601.18577","title":"Self-Refining Video Sampling","created":"2026-01-26","cited_by_count":15,"area":null},{"id":"2510.05560","title":"HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video","created":"2025-10-07","cited_by_count":14,"area":null},{"id":"2603.06408","title":"Physical Simulator In-the-Loop Video Generation","created":"2026-03-06","cited_by_count":14,"area":"diffusion"},{"id":"2606.17730","title":"ActWorld: From Explorable to Interactive World Model via Action-Aware Memory","created":"2026-06-16","cited_by_count":14,"area":"wm"},{"id":"2503.17359","title":"Position: Interactive Generative Video as Next-Generation Game Engine","created":"2025-03-21","cited_by_count":13,"area":null},{"id":"2506.07865","title":"FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity","created":"2025-06-09","cited_by_count":13,"area":null},{"id":"2509.24702","title":"Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility","created":"2025-09-29","cited_by_count":13,"area":"diffusion"},{"id":"2512.02622","title":"RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence","created":"2025-12-02","cited_by_count":13,"area":"lr"},{"id":"2410.01521","title":"MiraGe: Editable 2D Images using Gaussian Splatting","created":"2024-10-02","cited_by_count":12,"area":null},{"id":"2412.11785","title":"InterDyn: Controllable Interactive Dynamics with Video Diffusion Models","created":"2024-12-16","cited_by_count":12,"area":"diffusion"},{"id":"2502.07007","title":"Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC","created":"2025-02-10","cited_by_count":12,"area":null},{"id":"2510.13809","title":"PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning","created":"2025-10-15","cited_by_count":12,"area":"wm"},{"id":"2604.08503","title":"Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics","created":"2026-04-09","cited_by_count":12,"area":null},{"id":"2512.05564","title":"ProPhy: Progressive Physical Alignment for Dynamic World Simulation","created":"2025-12-05","cited_by_count":11,"area":null},{"id":"2412.16153","title":"MotiF: Making Text Count in Image Animation with Motion Focal Loss","created":"2024-12-20","cited_by_count":10,"area":null},{"id":"2508.13911","title":"PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis","created":"2025-08-19","cited_by_count":10,"area":null},{"id":"2505.13437","title":"FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance","created":"2025-05-19","cited_by_count":9,"area":null},{"id":"2508.01112","title":"MASIV: Toward Material-Agnostic System Identification from Videos","created":"2025-08-01","cited_by_count":9,"area":null},{"id":"2511.20562","title":"PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding","created":"2025-11-25","cited_by_count":9,"area":null},{"id":"2502.03639","title":"Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach","created":"2025-02-05","cited_by_count":8,"area":"diffusion"},{"id":"2511.21592","title":"MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training","created":"2025-11-26","cited_by_count":8,"area":"diffusion"},{"id":"2601.12428","title":"ReWorld: Multi-Dimensional Reward Modeling for Embodied World Models","created":"2026-01-18","cited_by_count":8,"area":"wm"},{"id":"2605.27589","title":"What-If World: A Causal Benchmark for General World Models in Embodied Scenarios","created":"2026-05-26","cited_by_count":8,"area":"wm"},{"id":"2509.22970","title":"Robot Learning from Any Images","created":"2025-09-26","cited_by_count":7,"area":null},{"id":"2511.19229","title":"Learning Plug-and-play Memory for Guiding Video Diffusion Models","created":"2025-11-24","cited_by_count":7,"area":"diffusion"},{"id":"2512.00762","title":"Seeing the Wind from a Falling Leaf","created":"2025-11-30","cited_by_count":7,"area":null},{"id":"2512.16924","title":"The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text","created":"2025-12-18","cited_by_count":7,"area":null},{"id":"2602.13294","title":"VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction","created":"2026-02-09","cited_by_count":7,"area":"lr"},{"id":"2604.06339","title":"Evolution of Video Generative Foundations","created":"2026-04-07","cited_by_count":7,"area":"wm"},{"id":"2502.19868","title":"C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation","created":"2025-02-27","cited_by_count":6,"area":null},{"id":"2505.03172","title":"Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning","created":"2025-05-06","cited_by_count":6,"area":"deeprl"},{"id":"2506.08894","title":"Product of Experts for Visual Generation","created":"2025-06-10","cited_by_count":6,"area":null},{"id":"2511.06299","title":"Physics-Informed Deformable Gaussian Splatting: Towards Unified Constitutive Laws for Time-Evolving Material Field","created":"2025-11-09","cited_by_count":6,"area":null},{"id":"2511.17450","title":"Planning with Sketch-Guided Verification for Physics-Aware Video Generation","created":"2025-11-21","cited_by_count":6,"area":null},{"id":"2603.06022","title":"MOSIV: Multi-Object System Identification from Videos","created":"2026-03-06","cited_by_count":6,"area":null},{"id":"2603.26285","title":"PhysVid: Physics Aware Local Conditioning for Generative Video Models","created":"2026-03-27","cited_by_count":6,"area":null},{"id":"2605.28230","title":"Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation","created":"2026-05-27","cited_by_count":6,"area":null},{"id":"2411.18677","title":"MatchDiffusion: Training-free Generation of Match-cuts","created":"2024-11-27","cited_by_count":5,"area":"diffusion"},{"id":"2504.12684","title":"SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials","created":"2025-04-17","cited_by_count":5,"area":null},{"id":"2505.16456","title":"PhyMAGIC: Physical Motion-Aware Generative Inference with Confidence-guided LLM","created":"2025-05-22","cited_by_count":5,"area":"diffusion"},{"id":"2505.20270","title":"ParticleGS: Learning Neural Gaussian Particle Dynamics from Videos for Prior-free Physical Motion Extrapolation","created":"2025-05-26","cited_by_count":5,"area":null},{"id":"2512.03350","title":"SeeU: Seeing the Unseen World via 4D Dynamics-aware Generation","created":"2025-12-03","cited_by_count":5,"area":null},{"id":"2606.08688","title":"PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback","created":"2026-06-07","cited_by_count":5,"area":"agents"},{"id":"2607.21522","title":"GS-Agent: Creating 4D Physical Worlds With Generative Simulation","created":"2026-07-23","cited_by_count":5,"area":"agents"},{"id":"2506.02794","title":"PhysGaia: A Physics-Aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis","created":"2025-06-03","cited_by_count":4,"area":null},{"id":"2506.05317","title":"ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation","created":"2025-06-05","cited_by_count":4,"area":null},{"id":"2512.18619","title":"ChronoDreamer: Action-Conditioned World Model as an Online Simulator for Robotic Planning","created":"2025-12-21","cited_by_count":4,"area":"wm"},{"id":"2603.13770","title":"PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment","created":"2026-03-14","cited_by_count":4,"area":"diffusion"},{"id":"2605.20290","title":"PhysOmni: Physics-Grounded Multi-Object Scene Generation from a Single Image with Real-Time Interaction","created":"2026-05-19","cited_by_count":4,"area":null},{"id":"2607.16947","title":"When Physical Preferences Meet Semantic Constraints: Physical and Semantic Direct Preference Optimization for Text-to-Video Generation","created":"2026-07-18","cited_by_count":4,"area":"alignment"},{"id":"2508.08254","title":"Learning an Implicit Physics Model for Image-based Fluid Simulation","created":"2025-08-11","cited_by_count":3,"area":null},{"id":"2510.04978","title":"Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI","created":"2025-10-06","cited_by_count":3,"area":"wm"},{"id":"2512.11061","title":"VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation","created":"2025-12-11","cited_by_count":3,"area":"wm"},{"id":"2512.19661","title":"Over++: Generative Video Compositing for Layer Interaction Effects","created":"2025-12-22","cited_by_count":3,"area":null},{"id":"2603.10408","title":"Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2605.17248","title":"Image-to-Video Diffusion: From Foundations to Open Frontiers","created":"2026-05-17","cited_by_count":3,"area":"diffusion"},{"id":"2605.18303","title":"PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics","created":"2026-05-18","cited_by_count":3,"area":"wm"},{"id":"2606.06361","title":"Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them","created":"2026-06-04","cited_by_count":3,"area":"diffusion"}],"next_cursor":"100"}